python - 手动更改散点图标签

Question

我有一个散点极坐标图，但外部的标签以度数而不是方向(N、NE、E 等)显示方向。我的数据以度为单位，因此我需要手动替换绘图上显示的标签。我当前的代码是:

import pandas as pd
import plotly.graph_objs as go

# Get data
url = "https://raw.githubusercontent.com/mpudil/projects/master/slc.csv"
df = pd.read_csv(url)

fig = go.Figure(data=
    go.Scatterpolar(
        r = list(df['distance']),
        theta = list(df['bearing']),
        mode = 'markers',   
        name = 'log'
    ))

fig.update_layout(
    polar = dict(
      radialaxis = dict(type = "log", tickangle = 45),
      angularaxis = dict(
            thetaunit = "degrees",
            dtick = 45,
            rotation=90,
            direction = "clockwise" 
            )
    ))

这会产生下面的图。有什么建议可以让 plotly 显示方向而不是程度吗？谢谢。

注:数据可在 https://github.com/mpudil/projects/blob/master/slc.csv 找到

Answer 1

不确定是否有更好的方法，但以下应该可行

fig.update_layout(
    polar = dict(
      radialaxis = dict(type = "log", tickangle = 45),
      angularaxis = dict(
            thetaunit = "degrees",
            dtick = 45,
            rotation=90,
            direction = "clockwise",
            tickmode="array",
            tickvals=[0, 45, 90, 135, 180, 225, 270, 315],
            ticktext=["N", "NE", "E", "SE", "S", "SW", "W", "NW"]
            )
    ))